{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8998b113-f01b-4f77-8521-df57537f673e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "data = pandas.read_csv(r'D:\\机器学习实验\\Purchase Redemption Data\\date_label.csv', engine='python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "72a570c4-e592-4ff1-8e72-05787b53c0dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>report_date</th>\n",
       "      <th>total_purchase_amt</th>\n",
       "      <th>total_redeem_amt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20130701</td>\n",
       "      <td>32488348</td>\n",
       "      <td>5525022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20130702</td>\n",
       "      <td>29037390</td>\n",
       "      <td>2554548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20130703</td>\n",
       "      <td>27270770</td>\n",
       "      <td>5953867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20130704</td>\n",
       "      <td>18321185</td>\n",
       "      <td>6410729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20130705</td>\n",
       "      <td>11648749</td>\n",
       "      <td>2763587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>20140827</td>\n",
       "      <td>302194801</td>\n",
       "      <td>468164147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>20140828</td>\n",
       "      <td>245082751</td>\n",
       "      <td>297893861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>20140829</td>\n",
       "      <td>267554713</td>\n",
       "      <td>273756380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>20140830</td>\n",
       "      <td>199708772</td>\n",
       "      <td>196374134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>20140831</td>\n",
       "      <td>275090213</td>\n",
       "      <td>292943033</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>427 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     report_date  total_purchase_amt  total_redeem_amt\n",
       "0       20130701            32488348           5525022\n",
       "1       20130702            29037390           2554548\n",
       "2       20130703            27270770           5953867\n",
       "3       20130704            18321185           6410729\n",
       "4       20130705            11648749           2763587\n",
       "..           ...                 ...               ...\n",
       "422     20140827           302194801         468164147\n",
       "423     20140828           245082751         297893861\n",
       "424     20140829           267554713         273756380\n",
       "425     20140830           199708772         196374134\n",
       "426     20140831           275090213         292943033\n",
       "\n",
       "[427 rows x 3 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "331acaf4-09ab-49ba-9b54-bd6279465888",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "data = pandas.read_csv(r'D:\\机器学习实验\\Purchase Redemption Data\\date_label.csv', engine='python')\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (25, 4.0)  # set figure size\n",
    "\n",
    "data[['total_purchase_amt', 'total_redeem_amt']].plot()\n",
    "plt.grid(True, linestyle=\"-\", color=\"green\", linewidth=\"0.5\")\n",
    "plt.legend()\n",
    "plt.title('purchase and redeem of every month')\n",
    "\n",
    "plt.gca().spines[\"top\"].set_alpha(0.0)\n",
    "plt.gca().spines[\"bottom\"].set_alpha(0.3)\n",
    "plt.gca().spines[\"right\"].set_alpha(0.0)\n",
    "plt.gca().spines[\"left\"].set_alpha(0.3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4bc4991a-2422-4d58-a970-6e6718f8b513",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\徐翔\\AppData\\Roaming\\Python\\Python312\\site-packages\\keras\\src\\layers\\rnn\\rnn.py:200: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(**kwargs)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                         </span>┃<span style=\"font-weight: bold\"> Output Shape                </span>┃<span style=\"font-weight: bold\">         Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n",
       "│ lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │          <span style=\"color: #00af00; text-decoration-color: #00af00\">26,880</span> │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ lstm_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)                  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">12,416</span> │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)                  │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,056</span> │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>)                  │             <span style=\"color: #00af00; text-decoration-color: #00af00\">990</span> │\n",
       "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape               \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n",
       "│ lstm (\u001b[38;5;33mLSTM\u001b[0m)                          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)               │          \u001b[38;5;34m26,880\u001b[0m │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ lstm_1 (\u001b[38;5;33mLSTM\u001b[0m)                        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)                  │          \u001b[38;5;34m12,416\u001b[0m │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)                  │           \u001b[38;5;34m1,056\u001b[0m │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m)                  │             \u001b[38;5;34m990\u001b[0m │\n",
       "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">41,342</span> (161.49 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m41,342\u001b[0m (161.49 KB)\n"
      ]
     },
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     "output_type": "display_data"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">41,342</span> (161.49 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m41,342\u001b[0m (161.49 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/150\n",
      "23/23 - 5s - 199ms/step - loss: 0.0674\n",
      "Epoch 2/150\n",
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      "Epoch 3/150\n",
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      "Epoch 4/150\n",
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      "Epoch 6/150\n",
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      "Epoch 8/150\n",
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      "Epoch 9/150\n",
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      "Epoch 10/150\n",
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      "Epoch 11/150\n",
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      "Epoch 12/150\n",
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      "Epoch 13/150\n",
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      "Epoch 14/150\n",
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      "Epoch 15/150\n",
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      "Epoch 16/150\n",
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      "Epoch 17/150\n",
      "23/23 - 0s - 6ms/step - loss: 0.0116\n",
      "Epoch 18/150\n",
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      "Epoch 19/150\n",
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      "Epoch 21/150\n",
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      "Epoch 22/150\n",
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      "Epoch 33/150\n",
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      "Epoch 106/150\n",
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      "Epoch 114/150\n",
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      "Epoch 115/150\n",
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      "Epoch 138/150\n",
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      "Epoch 141/150\n",
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      "Epoch 142/150\n",
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      "Epoch 143/150\n",
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      "Epoch 144/150\n",
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      "Epoch 145/150\n",
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      "Epoch 146/150\n",
      "23/23 - 0s - 7ms/step - loss: 0.0072\n",
      "Epoch 147/150\n",
      "23/23 - 0s - 6ms/step - loss: 0.0073\n",
      "Epoch 148/150\n",
      "23/23 - 0s - 5ms/step - loss: 0.0074\n",
      "Epoch 149/150\n",
      "23/23 - 0s - 7ms/step - loss: 0.0072\n",
      "Epoch 150/150\n",
      "23/23 - 0s - 7ms/step - loss: 0.0071\n"
     ]
    },
    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_1\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential_1\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                         </span>┃<span style=\"font-weight: bold\"> Output Shape                </span>┃<span style=\"font-weight: bold\">         Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n",
       "│ lstm_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │          <span style=\"color: #00af00; text-decoration-color: #00af00\">26,880</span> │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ lstm_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)                  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">12,416</span> │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)                  │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,056</span> │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>)                  │             <span style=\"color: #00af00; text-decoration-color: #00af00\">990</span> │\n",
       "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n",
       "</pre>\n"
      ],
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       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape               \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n",
       "│ lstm_2 (\u001b[38;5;33mLSTM\u001b[0m)                        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)               │          \u001b[38;5;34m26,880\u001b[0m │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ lstm_3 (\u001b[38;5;33mLSTM\u001b[0m)                        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)                  │          \u001b[38;5;34m12,416\u001b[0m │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)                  │           \u001b[38;5;34m1,056\u001b[0m │\n",
       "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
       "│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m)                  │             \u001b[38;5;34m990\u001b[0m │\n",
       "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">41,342</span> (161.49 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m41,342\u001b[0m (161.49 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">41,342</span> (161.49 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m41,342\u001b[0m (161.49 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/230\n",
      "23/23 - 6s - 258ms/step - loss: 0.1320\n",
      "Epoch 2/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0375\n",
      "Epoch 3/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0254\n",
      "Epoch 4/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0243\n",
      "Epoch 5/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0237\n",
      "Epoch 6/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0233\n",
      "Epoch 7/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0231\n",
      "Epoch 8/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0224\n",
      "Epoch 9/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0222\n",
      "Epoch 10/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0217\n",
      "Epoch 11/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0214\n",
      "Epoch 12/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0211\n",
      "Epoch 13/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0207\n",
      "Epoch 14/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0203\n",
      "Epoch 15/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0199\n",
      "Epoch 16/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0195\n",
      "Epoch 17/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0191\n",
      "Epoch 18/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0189\n",
      "Epoch 19/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0185\n",
      "Epoch 20/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0181\n",
      "Epoch 21/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0177\n",
      "Epoch 22/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0175\n",
      "Epoch 23/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0172\n",
      "Epoch 24/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0171\n",
      "Epoch 25/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0170\n",
      "Epoch 26/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0168\n",
      "Epoch 27/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0168\n",
      "Epoch 28/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0170\n",
      "Epoch 29/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0169\n",
      "Epoch 30/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0165\n",
      "Epoch 31/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0164\n",
      "Epoch 32/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0162\n",
      "Epoch 33/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0162\n",
      "Epoch 34/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0162\n",
      "Epoch 35/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0162\n",
      "Epoch 36/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0159\n",
      "Epoch 37/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0159\n",
      "Epoch 38/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0157\n",
      "Epoch 39/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0157\n",
      "Epoch 40/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0156\n",
      "Epoch 41/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0157\n",
      "Epoch 42/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0155\n",
      "Epoch 43/230\n",
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      "Epoch 44/230\n",
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      "Epoch 45/230\n",
      "23/23 - 0s - 8ms/step - loss: 0.0152\n",
      "Epoch 46/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0152\n",
      "Epoch 47/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0151\n",
      "Epoch 48/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0151\n",
      "Epoch 49/230\n",
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      "Epoch 50/230\n",
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      "Epoch 51/230\n",
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      "Epoch 52/230\n",
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      "Epoch 53/230\n",
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      "Epoch 54/230\n",
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      "Epoch 55/230\n",
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      "Epoch 56/230\n",
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      "Epoch 57/230\n",
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      "Epoch 58/230\n",
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      "Epoch 59/230\n",
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      "Epoch 60/230\n",
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      "Epoch 61/230\n",
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      "Epoch 62/230\n",
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      "Epoch 63/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0143\n",
      "Epoch 64/230\n",
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      "Epoch 65/230\n",
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      "Epoch 66/230\n",
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      "Epoch 67/230\n",
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      "Epoch 68/230\n",
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      "Epoch 69/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0141\n",
      "Epoch 70/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0141\n",
      "Epoch 71/230\n",
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      "Epoch 72/230\n",
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      "Epoch 73/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0140\n",
      "Epoch 74/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0139\n",
      "Epoch 75/230\n",
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      "Epoch 76/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0139\n",
      "Epoch 77/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0140\n",
      "Epoch 78/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0140\n",
      "Epoch 79/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0139\n",
      "Epoch 80/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0139\n",
      "Epoch 81/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0137\n",
      "Epoch 82/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0138\n",
      "Epoch 83/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0139\n",
      "Epoch 84/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0138\n",
      "Epoch 85/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0137\n",
      "Epoch 86/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0136\n",
      "Epoch 87/230\n",
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      "Epoch 88/230\n",
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      "Epoch 89/230\n",
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      "Epoch 90/230\n",
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      "Epoch 91/230\n",
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      "Epoch 92/230\n",
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      "Epoch 93/230\n",
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      "Epoch 94/230\n",
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      "Epoch 95/230\n",
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      "Epoch 96/230\n",
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      "Epoch 97/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0134\n",
      "Epoch 98/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0133\n",
      "Epoch 99/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0135\n",
      "Epoch 100/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0134\n",
      "Epoch 101/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0134\n",
      "Epoch 102/230\n",
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      "Epoch 103/230\n",
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      "Epoch 104/230\n",
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      "Epoch 105/230\n",
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      "Epoch 106/230\n",
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      "Epoch 107/230\n",
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      "Epoch 108/230\n",
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      "Epoch 109/230\n",
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      "Epoch 110/230\n",
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      "Epoch 111/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0132\n",
      "Epoch 112/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0134\n",
      "Epoch 113/230\n",
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      "Epoch 114/230\n",
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      "Epoch 115/230\n",
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      "Epoch 116/230\n",
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      "Epoch 117/230\n",
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      "Epoch 118/230\n",
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      "Epoch 119/230\n",
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      "Epoch 120/230\n",
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      "Epoch 121/230\n",
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      "Epoch 122/230\n",
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      "Epoch 123/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0128\n",
      "Epoch 124/230\n",
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      "Epoch 125/230\n",
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      "Epoch 126/230\n",
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      "Epoch 127/230\n",
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      "Epoch 128/230\n",
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      "Epoch 129/230\n",
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      "Epoch 130/230\n",
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      "Epoch 131/230\n",
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      "Epoch 132/230\n",
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      "Epoch 133/230\n",
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      "Epoch 134/230\n",
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      "Epoch 135/230\n",
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      "Epoch 136/230\n",
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      "Epoch 137/230\n",
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      "Epoch 138/230\n",
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      "Epoch 139/230\n",
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      "Epoch 140/230\n",
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      "Epoch 141/230\n",
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      "Epoch 142/230\n",
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      "Epoch 143/230\n",
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      "Epoch 144/230\n",
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      "Epoch 145/230\n",
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      "Epoch 146/230\n",
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      "Epoch 147/230\n",
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      "Epoch 148/230\n",
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      "Epoch 149/230\n",
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      "Epoch 150/230\n",
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      "Epoch 152/230\n",
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      "Epoch 153/230\n",
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      "Epoch 155/230\n",
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      "Epoch 156/230\n",
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      "Epoch 157/230\n",
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      "Epoch 158/230\n",
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      "Epoch 159/230\n",
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      "Epoch 160/230\n",
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      "Epoch 161/230\n",
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      "Epoch 162/230\n",
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      "Epoch 163/230\n",
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      "Epoch 165/230\n",
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      "Epoch 166/230\n",
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      "Epoch 167/230\n",
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      "Epoch 170/230\n",
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      "Epoch 171/230\n",
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      "Epoch 172/230\n",
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      "Epoch 173/230\n",
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      "Epoch 174/230\n",
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      "Epoch 175/230\n",
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      "Epoch 176/230\n",
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      "23/23 - 0s - 6ms/step - loss: 0.0115\n",
      "Epoch 178/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0116\n",
      "Epoch 179/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0115\n",
      "Epoch 180/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0115\n",
      "Epoch 181/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0114\n",
      "Epoch 182/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0116\n",
      "Epoch 183/230\n",
      "23/23 - 0s - 8ms/step - loss: 0.0117\n",
      "Epoch 184/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0114\n",
      "Epoch 185/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0114\n",
      "Epoch 186/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0113\n",
      "Epoch 187/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0113\n",
      "Epoch 188/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0113\n",
      "Epoch 189/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0113\n",
      "Epoch 190/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0113\n",
      "Epoch 191/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0113\n",
      "Epoch 192/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0113\n",
      "Epoch 193/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0113\n",
      "Epoch 194/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0113\n",
      "Epoch 195/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0111\n",
      "Epoch 196/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0114\n",
      "Epoch 197/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0113\n",
      "Epoch 198/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0111\n",
      "Epoch 199/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0111\n",
      "Epoch 200/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0111\n",
      "Epoch 201/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0112\n",
      "Epoch 202/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0111\n",
      "Epoch 203/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0111\n",
      "Epoch 204/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0111\n",
      "Epoch 205/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0110\n",
      "Epoch 206/230\n",
      "23/23 - 0s - 5ms/step - loss: 0.0111\n",
      "Epoch 207/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0110\n",
      "Epoch 208/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0110\n",
      "Epoch 209/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0109\n",
      "Epoch 210/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0110\n",
      "Epoch 211/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0109\n",
      "Epoch 212/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0110\n",
      "Epoch 213/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0109\n",
      "Epoch 214/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0108\n",
      "Epoch 215/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0108\n",
      "Epoch 216/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0109\n",
      "Epoch 217/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0108\n",
      "Epoch 218/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0108\n",
      "Epoch 219/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0108\n",
      "Epoch 220/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0108\n",
      "Epoch 221/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0107\n",
      "Epoch 222/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0107\n",
      "Epoch 223/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0107\n",
      "Epoch 224/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0106\n",
      "Epoch 225/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0106\n",
      "Epoch 226/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0107\n",
      "Epoch 227/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0107\n",
      "Epoch 228/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0107\n",
      "Epoch 229/230\n",
      "23/23 - 0s - 7ms/step - loss: 0.0106\n",
      "Epoch 230/230\n",
      "23/23 - 0s - 6ms/step - loss: 0.0105\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 521ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 520ms/step\n",
      "    report_date     purchase       redeem\n",
      "0      20140901  362080928.0  362150112.0\n",
      "1      20140902  363728992.0  326739680.0\n",
      "2      20140903  296556224.0  308530048.0\n",
      "3      20140904  300199776.0  295560192.0\n",
      "4      20140905  265402320.0  264517760.0\n",
      "5      20140906  200635408.0  193001248.0\n",
      "6      20140907  210153664.0  189904576.0\n",
      "7      20140908  298324032.0  327011712.0\n",
      "8      20140909  299529760.0  311667136.0\n",
      "9      20140910  277319552.0  329457312.0\n",
      "10     20140911  280270400.0  318597440.0\n",
      "11     20140912  263227120.0  297302464.0\n",
      "12     20140913  182197760.0  217857392.0\n",
      "13     20140914  239906000.0  213539952.0\n",
      "14     20140915  335651488.0  329268864.0\n",
      "15     20140916  347383808.0  310483200.0\n",
      "16     20140917  283272896.0  306445920.0\n",
      "17     20140918  289583744.0  298199360.0\n",
      "18     20140919  250287920.0  281841120.0\n",
      "19     20140920  211489088.0  191362928.0\n",
      "20     20140921  259487600.0  178297440.0\n",
      "21     20140922  323994816.0  312298208.0\n",
      "22     20140923  338572960.0  316229664.0\n",
      "23     20140924  313252992.0  321636256.0\n",
      "24     20140925  329543008.0  301071712.0\n",
      "25     20140926  272377760.0  269347040.0\n",
      "26     20140927  203227728.0  197497904.0\n",
      "27     20140928  236362048.0  191263424.0\n",
      "28     20140929  348890368.0  342889344.0\n",
      "29     20140930  349805184.0  330581344.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# -*- coding:utf-8 -*-\n",
    "\n",
    "\"\"\"\n",
    "reference:https://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/\n",
    "Note:\n",
    "1.LSTMs are sensitive to the scale of the input data, specifically when the sigmoid (default) or tanh activation functions are used. It can be a good practice to rescale the data to the range of 0-to-1, also called normalizing.\n",
    "2.The LSTM network expects the input data (X) to be provided with a specific array structure in the form of: [samples, time steps, features].\n",
    "\"\"\"\n",
    "\n",
    "import math\n",
    "import numpy\n",
    "import pandas\n",
    "from keras.layers import LSTM, RNN, GRU, SimpleRNN\n",
    "from keras.layers import Dense, Dropout\n",
    "from keras.callbacks import EarlyStopping\n",
    "import matplotlib.pyplot as plt\n",
    "from keras.models import Sequential\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "import os\n",
    "\n",
    "numpy.random.seed(2019)\n",
    "\n",
    "\n",
    "class RNNModel(object):\n",
    "    def __init__(self, look_back=1, epochs_purchase=20, epochs_redeem=40, batch_size=1, verbose=2, patience=10, store_result=False):\n",
    "        self.look_back = look_back\n",
    "        self.epochs_purchase = epochs_purchase\n",
    "        self.epochs_redeem = epochs_redeem\n",
    "        self.batch_size = batch_size\n",
    "        self.verbose = verbose\n",
    "        self.store_result = store_result\n",
    "        self.patience = patience\n",
    "        self.purchase = pandas.read_csv(r'D:\\机器学习实验\\Purchase Redemption Data\\date_label.csv', usecols=[1], engine='python') \n",
    "        self.redeem = pandas.read_csv(r'D:\\机器学习实验\\Purchase Redemption Data\\date_label.csv', usecols=[2], engine='python')\n",
    "        \n",
    "    def access_data(self, data_frame):\n",
    "        # load the data set\n",
    "        data_set = data_frame.values\n",
    "        data_set = data_set.astype('float32')\n",
    "\n",
    "        # LSTMs are sensitive to the scale of the input data, specifically when the sigmoid (default) or tanh activation functions are used. It can be a good practice to rescale the data to the range of 0-to-1, also called normalizing.\n",
    "        scaler = MinMaxScaler(feature_range=(0, 1))\n",
    "        data_set = scaler.fit_transform(data_set)\n",
    "\n",
    "        # reshape into X=t and Y=t+1\n",
    "        train_x, train_y, test = self.create_data_set(data_set)\n",
    "\n",
    "        # reshape input to be [samples, time steps, features]\n",
    "        train_x = numpy.reshape(train_x, (train_x.shape[0], 1, train_x.shape[1]))\n",
    "        return train_x, train_y, test, scaler\n",
    "\n",
    "    # convert an array of values into a data set matrix\n",
    "    def create_data_set(self, data_set):\n",
    "        data_x, data_y = [], []\n",
    "        for i in range(len(data_set)-self.look_back - 30):\n",
    "            a = data_set[i:(i + self.look_back), 0]\n",
    "            data_x.append(a)\n",
    "            data_y.append(list(data_set[i + self.look_back: i + self.look_back + 30, 0]))\n",
    "        # print(numpy.array(data_y).shape)\n",
    "        return numpy.array(data_x), numpy.array(data_y), data_set[-self.look_back:, 0].reshape(1, 1, self.look_back)\n",
    "\n",
    "    def rnn_model(self, train_x, train_y, epochs):\n",
    "        model = Sequential()\n",
    "        model.add(LSTM(64, input_shape=(1, self.look_back), return_sequences=True))\n",
    "        model.add(LSTM(32, return_sequences=False))\n",
    "        model.add(Dense(32))\n",
    "        model.add(Dense(30))\n",
    "        model.compile(loss='mean_squared_error', optimizer='adam')\n",
    "        model.summary()\n",
    "        early_stopping = EarlyStopping('loss', patience=self.patience)\n",
    "        history = model.fit(train_x, train_y, epochs=epochs, batch_size=self.batch_size, verbose=self.verbose, callbacks=[early_stopping])\n",
    "        return model\n",
    "\n",
    "    def predict(self, model, data):\n",
    "        prediction = model.predict(data)\n",
    "        return prediction\n",
    "\n",
    "    def plot_show(self, predict):\n",
    "        predict = predict[['purchase', 'redeem']]\n",
    "        predict.plot()\n",
    "        plt.show()\n",
    "\n",
    "    def run(self):\n",
    "        purchase_train_x, purchase_train_y, purchase_test, purchase_scaler = self.access_data(self.purchase)\n",
    "        redeem_train_x, redeem_train_y, redeem_test, redeem_scaler = self.access_data(self.redeem)\n",
    "\n",
    "        purchase_model = self.rnn_model(purchase_train_x, purchase_train_y, self.epochs_purchase)\n",
    "        redeem_model = self.rnn_model(redeem_train_x, redeem_train_y, self.epochs_redeem)\n",
    "\n",
    "        purchase_predict = self.predict(purchase_model, purchase_test)\n",
    "        redeem_predict = self.predict(redeem_model, redeem_test)\n",
    "\n",
    "        test_user = pandas.DataFrame({'report_date': [20140900 + i for i in range(1, 31)]})\n",
    "\n",
    "        purchase = purchase_scaler.inverse_transform(purchase_predict).reshape(30, 1)\n",
    "        redeem = redeem_scaler.inverse_transform(redeem_predict).reshape(30, 1)\n",
    "\n",
    "        test_user['purchase'] = purchase\n",
    "        test_user['redeem'] = redeem\n",
    "        print(test_user)\n",
    "\n",
    "        \"\"\"Store submit file\"\"\"\n",
    "        if self.store_result is True:\n",
    "            test_user.to_csv('submit_lstm.csv', encoding='utf-8', index=None, header=None)\n",
    "            \n",
    "        \"\"\"plot result picture\"\"\"\n",
    "        self.plot_show(test_user)\n",
    "        \n",
    "if __name__ == '__main__':\n",
    "    initiation = RNNModel(look_back=40, epochs_purchase=150, epochs_redeem=230, batch_size=16, verbose=2, patience=50, store_result=False)\n",
    "    initiation.run()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2bec2b5f-20db-4740-95df-710f84fcac8e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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